Optimal safety decision making in advanced vehicle control systems

This paper outlines an approach to optimal safety decision making under adverse conditions in advanced vehicle control systems (AVCS), with specific application to the California Partners for Advanced Transit and Highways (PATH) program. The outputs from safety decision making are intended as guidelines for public policy makers to ensure minimal injury and vehicle damage while substantially improving highway capacity. The intelligent decision advisor (IDA) is introduced and its components of hazard diagnosis, trajectory prediction, impact evaluation, and expected injury/damage minimization are outlined